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https://github.com/open-mmlab/mmsegmentation.git
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[docs] add modelzoo statistics readthedocs (#263)
* add modelzoo statistics readthedocs * fix
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@ -11,6 +11,7 @@
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# documentation root, use os.path.abspath to make it absolute, like shown here.
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# documentation root, use os.path.abspath to make it absolute, like shown here.
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#
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#
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import os
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import os
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import subprocess
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import sys
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import sys
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sys.path.insert(0, os.path.abspath('..'))
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sys.path.insert(0, os.path.abspath('..'))
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@ -77,3 +78,11 @@ html_theme = 'sphinx_rtd_theme'
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# relative to this directory. They are copied after the builtin static files,
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# relative to this directory. They are copied after the builtin static files,
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# so a file named "default.css" will overwrite the builtin "default.css".
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# so a file named "default.css" will overwrite the builtin "default.css".
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html_static_path = ['_static']
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html_static_path = ['_static']
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def builder_inited_handler(app):
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subprocess.run(['./stat.py'])
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def setup(app):
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app.connect('builder-inited', builder_inited_handler)
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@ -7,6 +7,7 @@ Welcome to MMSegmenation's documentation!
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install.md
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install.md
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getting_started.md
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getting_started.md
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config.md
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config.md
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modelzoo_statistics.md
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model_zoo.md
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model_zoo.md
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.. toctree::
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.. toctree::
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42
docs/stat.py
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42
docs/stat.py
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@ -0,0 +1,42 @@
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#!/usr/bin/env python
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import glob
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import os.path as osp
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import re
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url_prefix = 'https://github.com/open-mmlab/mmsegmentation/blob/master/'
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files = sorted(glob.glob('../configs/*/README.md'))
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stats = []
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titles = []
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num_ckpts = 0
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for f in files:
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url = osp.dirname(f.replace('../', url_prefix))
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with open(f, 'r') as content_file:
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content = content_file.read()
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title = content.split('\n')[0].replace('#', '')
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titles.append(title)
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ckpts = set(x.lower().strip()
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for x in re.findall(r'https?://download.*\.pth', content)
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if 'mmsegmentation' in x)
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num_ckpts += len(ckpts)
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statsmsg = f"""
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\t* [{title}]({url}) ({len(ckpts)} ckpts)
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"""
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stats.append((title, ckpts, statsmsg))
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msglist = '\n'.join(x for _, _, x in stats)
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modelzoo = f"""
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# Model Zoo Statistics
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* Number of papers: {len(titles)}
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* Number of checkpoints: {num_ckpts}
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{msglist}
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"""
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with open('modelzoo_statistics.md', 'w') as f:
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f.write(modelzoo)
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